Fast Non-Searching Method for Maneuvering Target Detection and Motion Parameters Estimation

2016 ◽  
Vol 64 (9) ◽  
pp. 2232-2244 ◽  
Author(s):  
Xiaolong Li ◽  
Guolong Cui ◽  
Lingjiang Kong ◽  
Wei Yi
Keyword(s):  
Target Detection ◽  
Parameters Estimation ◽  
Maneuvering Target ◽  
Motion Parameters ◽  
Searching Method

A novel method for high-speed maneuvering target detection and motion parameters estimation

2020 ◽  
Vol 31 (4) ◽  
pp. 1625-1647
Author(s):  
Mingming Tian ◽  
Guisheng Liao ◽  
Shengqi Zhu ◽  
Xiongpeng He ◽  
Yunpeng Li
Keyword(s):  
Target Detection ◽  
High Speed ◽  
Parameters Estimation ◽  
Maneuvering Target ◽  
Novel Method ◽  
Motion Parameters

A fast non-searching method for maneuvering target detection based on ACCF

2015 ◽  
Author(s):  
Xiaolong Li ◽  
Guolong Cui ◽  
Wei Yi ◽  
Lingjiang Kong ◽  
Jianyu Yang ◽  
...  
Keyword(s):  
Target Detection ◽  
Maneuvering Target ◽  
Searching Method

A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF

2015 ◽  
Vol 22 (3) ◽  
pp. 270-274 ◽  
Author(s):  
Xiaolong Li ◽  
Guolong Cui ◽  
Wei Yi ◽  
Lingjiang Kong
Keyword(s):  
Estimation Algorithm ◽  
Parameters Estimation ◽  
Target Motion ◽  
Maneuvering Target ◽  
Motion Parameters

scholarly journals Statistical Analysis of Target Detection using TRTSGRFT

2019 ◽  
Vol 8 (3) ◽  
pp. 6570-6573
Keyword(s):  
Fourier Transform ◽  
Parameter Estimation ◽  
Statistical Analysis ◽  
Target Detection ◽  
Computational Cost ◽  
Doppler Frequency ◽  
Maneuvering Target ◽  
Novel Method ◽  
Range Migration ◽  
Motion Parameters

This paper proposes novel methodology for target detection and motion parameter estimation for a maneuvering target. Noise like interference may inculcate few difficulties such as Range Migration (RM) and Doppler Frequency Migration (DFM). This paper proposes a novel method to overcome the issue. The method is to use Time Reversing Transform (TRT) and special generalized Radon Fourier transform (SGRFT), i.e., TRT-SGRFT. TRT separates the motion parameters and reduces the clutter. Then the SGRFT operation is employed to estimate part of the motion parameters. This method ensures a good tradeoff between the computational cost and estimation performance. Finally, simulations results are discussed to demonstrate the numerical results.

A New Maneuvering Target Detection Algorithm in OTHR

2014 ◽  
Vol 644-650 ◽  
pp. 1122-1125
Author(s):  
Hui Yong Li ◽  
Wan Ge Li ◽  
Jin Feng Hu ◽  
Hui Ai ◽  
Zhi Rong Lin
Keyword(s):  
Target Detection ◽  
Signal To Noise Ratio ◽  
Order Reduction ◽  
Detection Algorithm ◽  
Doppler Spectrum ◽  
Cubic Phase ◽  
Maneuvering Target ◽  
Phase Signal ◽  
Motion Parameters ◽  
Noise Ratio

In the three-order polynomial phase signal, HAF can be used to reduce phase order to achieve the phase parameter estimation. The loss of signal to noise ratio in the order reduction processing is serious. In order to reduce the SNR loss, this paper uses CPF to reduce phase order. It requiers two one-dimensional searches to estimate the rate of acceleration and acceleration. The estimated motion parameters are used to compensate the target echo doppler and doppler spectrum expansion can be suppressed. This paper proposes a new maneuvering target detection algorithm with low non-linearity. The algorithm makes use of the cubic phase function (CPF) to estimate target motion parameters and reduce the number of phase order. Simulation demonstrates the effectiveness of the proposed algorithm and the adaptability to low signal noise ratio.

Fast non-searching method for ground moving target refocusing and motion parameters estimation

2018 ◽  
Vol 79 ◽  
pp. 152-163 ◽  
Author(s):  
Xiongpeng He ◽  
Guisheng Liao ◽  
Shengqi Zhu ◽  
Jingwei Xu ◽  
Yifan Guo ◽  
...  
Keyword(s):  
Parameters Estimation ◽  
Moving Target ◽  
Motion Parameters ◽  
Searching Method

scholarly journals Radar Detection and Motion Parameters Estimation of Maneuvering Target Based on the Extended Keystone Transform (July 2018)

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 76060-76074 ◽  
Author(s):  
Jibin Zheng ◽  
Jiancheng Zhang ◽  
Shuwen Xu ◽  
Hongwei Liu ◽  
Qing Huo Liu
Keyword(s):  
Parameters Estimation ◽  
Radar Detection ◽  
Maneuvering Target ◽  
Keystone Transform ◽  
Motion Parameters
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